Cenological Model of International Migration Management in the Regional Business System

  • Alexander Alexandrovich Alferov Department of Economics, Faculty of Economics and Commodity. Kamchatka branch of the Russian University of Cooperation, Klyuchevskaya St. (ulitsa), 11, Petropavlovsk-Kamchatsky, 683003, Kamchatka Krai, Russian Federation
  • Irina Vladimirovna Levskaya Department of Economics, Faculty of Economics and Management. Kamchatka State Technical University, Klyuchevskaya St. (ulitsa), 15, Petropavlovsk-Kamchatsky, 683003, Kamchatka Krai, Russia.
  • Tatyana Ivanovna Bogdanova Department of Economics, Faculty of Economics and Management. Kamchatka State Technical University, Klyuchevskaya St. (ulitsa), 15, Petropavlovsk-Kamchatsky, 683003, Kamchatka Krai, Russia.
Keywords: Cenology, H-distribution, migration processes, economic cenoses, rank distribution

Abstract

The article suggests a model for determining the needs of a regional business system in migrants and assessing the impact of international migration on the sustainability and development of a regional business system based on the cenological approach. The authors conducted a study of the business system of the Kamchatka Region – a region with high migration activity. Methodology. Data on the revenue of 100 enterprises was the empirical base for this research. The availability of these data was the only criterion for this sample. Results and applications. The cenological model for assessing the impact of migration on stability of the regional business system described in this article allows to predict the need for the number of migrants, including by industry. The research has proved that the regional business system of the Kamchatka Region is part of a cenological system, and revealed that the increasing of small enterprises number and filling the gap in the labor market with migrants is necessary for building an optimal regional entrepreneurial system. Limitations and conclusion. However, this model does not consider such factors as age, gender, level of qualifications and migrants’ education. Therefore, further research in this direction will be a significant contribution to the field of scientific knowledge and migration management of states and regions. The model may improve the forecasting efficiency of the need for foreign labor and improve regional migration policy.

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Author Biographies

Alexander Alexandrovich Alferov, Department of Economics, Faculty of Economics and Commodity. Kamchatka branch of the Russian University of Cooperation, Klyuchevskaya St. (ulitsa), 11, Petropavlovsk-Kamchatsky, 683003, Kamchatka Krai, Russian Federation

Associate Professor at the Department of Economics, Faculty of Economics and Commodity. Kamchatka branch of the Russian University of Cooperation, Klyuchevskaya St. (ulitsa), 11, Petropavlovsk-Kamchatsky, 683003, Kamchatka Krai, Russian Federation

Irina Vladimirovna Levskaya, Department of Economics, Faculty of Economics and Management. Kamchatka State Technical University, Klyuchevskaya St. (ulitsa), 15, Petropavlovsk-Kamchatsky, 683003, Kamchatka Krai, Russia.

Associate Professor at the Department of Economics, Faculty of Economics and Management. Kamchatka State Technical University, Klyuchevskaya St. (ulitsa), 15, Petropavlovsk-Kamchatsky, 683003, Kamchatka Krai, Russia.

Tatyana Ivanovna Bogdanova, Department of Economics, Faculty of Economics and Management. Kamchatka State Technical University, Klyuchevskaya St. (ulitsa), 15, Petropavlovsk-Kamchatsky, 683003, Kamchatka Krai, Russia.

Associate Professor at the Department of Economics, Faculty of Economics and Management. Kamchatka State Technical University, Klyuchevskaya St. (ulitsa), 15, Petropavlovsk-Kamchatsky, 683003, Kamchatka Krai, Russia.

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Published
2019-08-31
How to Cite
Alferov, A., Levskaya, I., & Bogdanova, T. (2019). Cenological Model of International Migration Management in the Regional Business System. Amazonia Investiga, 8(21), 206-221. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/94
Section
Articles
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